COMIDA-CAB: Arctic Marine Chemistry and Benthos Survey
Updated 3mo ago
24files
Available on 2 platforms
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Description
July-August 2009 and 2010 saw research cruises collect physical, chemical, and biological data at 65 stations in the Chukchi Sea. The dataset contains over 36,000 data values across more than 150 variables, covering seawater, sediment, and benthic samples. It includes measurements like salinity, chlorophyll a, hydrocarbons, metals, taxonomic counts, and stable isotopes.
Use Cases
Assessing baseline environmental conditions for offshore drilling areas based on hydrocarbon and metal concentrations in sediment.
Studying benthic community structure and health using taxonomic counts, biomass, and DNA damage biomarkers.
Analyzing water column productivity and particulate organic matter from seawater samples containing chlorophyll a and particulate organic carbon.
Investigating spatial and temporal patterns in the Arctic marine environment using the provided station locations and dates.
Strengths
Contains a substantial volume of data with over 36,000 values across more than 150 variables.
Provides multi-faceted environmental data covering water, sediment, and biota from the same 65 stations.
Includes detailed taxonomic information with over 500 taxonomic names identified.
Limitations
Metadata completeness is low; specific column names, row counts, and license information are not provided in the sources.
There is a conflict in the 'last updated' date between platforms (2010 vs. 2026), suggesting potential metadata inconsistency.
The dataset's internal organization into investigator folders may require additional effort to consolidate for analysis.
Provenance
Source
National Oceanic and Atmospheric Administration, Department of Commerce
Collection Method
Sensor measurements and sampling of water, sediment, and biota during research cruises conducted by investigators from several universities and research organizations.
Time Range
2009-2010
Freshness
2026-03-05 22:53:28.207884
Geography
Chukchi Sea
Data are organized in folders for each investigator. A sites.csv file provides station locations and dates for all samples.